Evidence map›Paper›PMID 18332042›Full record

ArticleNucleic acids research2008

A systematic characterization of factors that regulate Drosophila segmentation via a bacterial one-hybrid system.

Marcus B Noyes, Xiangdong Meng, Atsuya Wakabayashi, Saurabh Sinha, Michael H Brodsky, Scot A Wolfe

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 111 papers.

0numbers the graph read from it
0cells of the map it votes in
111citing papers in PubMed
5.8field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

111 citing papers in PubMed, 185 citations in OpenAlex.

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  20. A Mutation in theG3 (Bethesda, Md.) · 2020
    Article

51 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Marcus B NoyesProgram in Gene Function and Expression, Department of Biochemistry and Molecular Pharmacology, Program in Molecular Medicine, University of Massachusetts Medical School, Worcester, MA 01605, USA.
Xiangdong Meng
Atsuya Wakabayashi
Saurabh Sinha
Michael H Brodsky
Scot A Wolfe
University of Illinois Urbana-Champaign · US

Funding

Completion of the Drosophila Gene CollectionR01HG002673 · NHGRI · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI CELNIKER, SUSAN E · 2003 to 2008
$6.2M
Dimeric Cys2His2 Zinc Finger Proteins for Gene TargetingR01GM068110 · NIGMS · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI WOLFE, SCOT A · 2004 to 2013
$2.7M
A bacterial one-hybrid system for analyzing DNA-binding specificitiesR21HG003721 · NHGRI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI WOLFE, SCOT A · 2006 to 2007
$320k
NHGRI NIH HHS HG002673NHGRI NIH HHS HG003721NHGRI NIH HHS R01 HG002673NHGRI NIH HHS R21 HG003721NIGMS NIH HHS GM068110NIGMS NIH HHS R01 GM068110
6 · The paper itself

Abstract

Specificity data for groups of transcription factors (TFs) in a common regulatory network can be used to computationally identify the location of cis-regulatory modules in a genome. The primary limitation for this type of analysis is the paucity of specificity data that is available for the majority of TFs. We describe an omega-based bacterial one-hybrid system that provides a rapid method for characterizing DNA-binding specificities on a genome-wide scale. Using this system, 35 members of the Drosophila melanogaster segmentation network have been characterized, including representative members of all of the major classes of DNA-binding domains. A suite of web-based tools was created that uses this binding site dataset and phylogenetic comparisons to identify cis-regulatory modules throughout the fly genome. These tools allow specificities for any combination of factors to be used to perform rapid local or genome-wide searches for cis-regulatory modules. The utility of these factor specificities and tools is demonstrated on the well-characterized segmentation network. By incorporating specificity data on an additional 66 factors that we have characterized, our tools utilize approximately 14% of the predicted factors within the fly genome and provide an important new community resource for the identification of cis-regulatory modules.

Indexed as

Regulatory Elements, TranscriptionalTwo-Hybrid System TechniquesAnimalsBacteriaBase SequenceBinding SitesBody PatterningComputational BiologyConserved SequenceDrosophila melanogasterDrosophila ProteinsGenomicsSoftwareTranscription FactorsDrosophila ProteinsTranscription Factors

Identifiers

PMID18332042
PMCPMC2377422
OpenAlexW2058552632

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.